The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.

Container shipping intelligence for AI agents — demurrage & detention charges, local charges, inland haulage, CFS tariffs across 800+ ports and 45+ shipping lines. Pay-per-request with USDC via x402 protocol on Base and Solana networks. 9 tools including 3 free endpoints.

A server to provide information about EOxElements custom elements for coding agents.

security tools for AI agents: URL safety scanning, prompt injection detection (200+ patterns), email/password breach checks via HIBP, domain & IP reputation analysis, and AI skill supply chain scanning. Free tier (3 calls/day) or pay-per-request with USDC micropayments via x402.

VibeMarketing (https://vibemarketing.ninja/mcp) is a directory service that catalogs and provides information about various MCP (Model Context Protocol) servers. It serves as a centralized resource where users can discover different MCP servers and their capabilities. Examples of servers listed in the directory include Sequential Thinking MCP (for dynamic problem-solving through structured thought sequences) and Memory MCP (a knowledge graph-based persistent memory system).

The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.